Summary

Dataset 1

Experiments excluded

Mask

Get figure file: figures/preliminary_dset-1_figure-mask.png

Peak coordinates

Get figure file: figures/preliminary_dset-1_figure-static.png
Get figure file: figures/preliminary_dset-1_figure-legend.png

Explorer

Meta-Analysis

Estimator

Parameters use to fit the meta-analytic estimator.

Corrector

Parameters use to fit the corrector.

Corrected meta-analytic map: z_corr-FDR_method-indep

Explorer

The following figure provides an interactive window to explore the meta-analytic map in detail.

Slice viewer

This panel shows the the corrrected meta-analytic map.

Get figure file: figures/corrector_figure-static.png

Diagnostics

Target image: z_corr-FDR_method-indep

Significant clusters

    X Y Z Peak Stat Cluster Size (mm3)
Tail Cluster ID          
Positive 1 36.00 20.00 -4.00 7.64 16240
1a 26.00 18.00 -8.00 4.78
1b 12.00 12.00 -4.00 4.46
1c 22.00 16.00 -6.00 4.16
2 -40.00 24.00 -8.00 5.42 10904
2a -34.00 18.00 -2.00 4.78
2b -42.00 24.00 -4.00 4.78
2c -34.00 22.00 -10.00 4.16
3 -6.00 -56.00 34.00 5.10 5216
3a 0.00 -52.00 42.00 3.56
3b -10.00 -58.00 22.00 2.93
3c -10.00 -46.00 28.00 2.93
4 -8.00 48.00 2.00 5.10 17952
4a -6.00 40.00 0.00 4.46
4b -8.00 52.00 4.00 4.46
4c -6.00 42.00 -8.00 4.16
5 -4.00 8.00 52.00 4.78 6912
5a -2.00 20.00 52.00 3.25
5b 6.00 6.00 54.00 3.25
5c -8.00 4.00 56.00 3.25
6 -42.00 2.00 48.00 4.46 7776
6a -34.00 -2.00 50.00 3.86
6b -40.00 2.00 42.00 3.56
6c -26.00 2.00 58.00 3.56
7 -46.00 -64.00 12.00 4.16 2000
7a -50.00 -70.00 2.00 2.93
7b -52.00 -62.00 4.00 2.26
7c -50.00 -74.00 4.00 2.26
8 -36.00 48.00 8.00 3.86 1584
8a -38.00 38.00 14.00 2.60
8b -34.00 54.00 2.00 2.26
8c -34.00 40.00 14.00 2.26
9 54.00 -46.00 16.00 3.56 3280
9a 54.00 -40.00 24.00 3.56
9b 54.00 -48.00 20.00 3.25
9c 60.00 -36.00 18.00 3.25
10 -48.00 -60.00 28.00 3.56 3296
10a -46.00 -52.00 22.00 3.56
10b -48.00 -58.00 40.00 3.25
10c -48.00 -48.00 26.00 3.25
11 30.00 -4.00 56.00 3.56 928
11a 22.00 -8.00 58.00 2.26
11b 22.00 -4.00 50.00 2.26
11c 30.00 -8.00 50.00 2.26
12 50.00 -42.00 44.00 3.25 1416
12a 48.00 -52.00 40.00 2.60
12b 52.00 -42.00 50.00 2.60
12c 54.00 -38.00 40.00 2.60
13 48.00 -70.00 2.00 2.93 1680
13a 46.00 -64.00 -4.00 2.60
13b 52.00 -74.00 -4.00 2.26
13c 40.00 -66.00 -6.00 2.26
14 -60.00 -26.00 4.00 2.93 2096
14a -58.00 -24.00 -6.00 2.93
14b -56.00 -24.00 2.00 2.60
14c -60.00 -34.00 0.00 2.60
15 -16.00 12.00 10.00 2.93 328
16 30.00 -66.00 -18.00 2.60 248
17 -46.00 -36.00 44.00 2.60 1072
17a -56.00 -38.00 34.00 2.26
17b -50.00 -36.00 40.00 2.26
17c -48.00 -36.00 48.00 2.26
18 42.00 -4.00 48.00 2.60 288
18a 40.00 4.00 50.00 1.91
19 30.00 -56.00 -16.00 2.60 240
19a 38.00 -54.00 -18.00 2.26
19b 30.00 -58.00 -12.00 1.91
20 24.00 -46.00 -12.00 2.60 392
21 52.00 -18.00 -6.00 2.60 152
21a 54.00 -10.00 -6.00 1.91
22 6.00 40.00 42.00 2.60 208
23 -28.00 -58.00 46.00 2.60 264
24 26.00 -50.00 -16.00 2.26 184
25 2.00 50.00 -14.00 2.26 112
26 40.00 -58.00 -12.00 2.26 328
27 6.00 32.00 44.00 2.26 176
28 -50.00 -56.00 -10.00 2.26 376
29 -30.00 -52.00 48.00 2.26 208
30 -24.00 -54.00 -12.00 2.26 88
31 44.00 -66.00 20.00 1.91 80

Label map: positive tail

Get figure file: figures/diagnostics_tail-positive_figure.png

FocusCounter

The FocusCounter analysis characterizes the relative contribution of each experiment in a meta-analysis to the resulting clusters by counting the number of peaks from each experiment that fall within each significant cluster.

The heatmap presents the relative contributions of each experiment to each cluster in the thresholded map. There is one row for each experiment, and one column for each cluster, with column names being PostiveTail/NegativeTail indicating the sign (+/-) of the cluster's statistical values. The rows and columns were re-ordered to form clusters in the heatmap.

Heatmap: positive tail

Methods

We kindly ask to report results preprocessed with this tool using the following boilerplate.

A multilevel kernel density (MKDA) meta-analysis \citep{wager2007meta} was performed was performed
with NiMARE 0.6.1 (RRID:SCR_017398; \citealt{Salo2023}), using a(n) MKDA kernel. An MKDA kernel
\citep{wager2007meta} was used to generate study-wise modeled activation maps from coordinates. In
this kernel method, each coordinate is convolved with a sphere with a radius of 10.0 and a value of
1. For voxels with overlapping spheres, the maximum value was retained. Summary statistics (OF
values) were converted to p-values using an approximate null distribution. The input dataset
included 1804 foci from 237 experiments. False discovery rate correction was performed with the
Benjamini-Hochberg procedure \citep{benjamini1995controlling}.

Bibliography

@article{Salo2023,
  doi = {10.52294/001c.87681},
  url = {https://doi.org/10.52294/001c.87681},
  year = {2023},
  volume = {3},
  pages = {1 - 32},
  author = {Taylor Salo and Tal Yarkoni and Thomas E. Nichols and Jean-Baptiste Poline and Murat Bilgel and Katherine L. Bottenhorn and Dorota Jarecka and James D. Kent and Adam Kimbler and Dylan M. Nielson and Kendra M. Oudyk and Julio A. Peraza and Alexandre Pérez and Puck C. Reeders and Julio A. Yanes and Angela R. Laird},
  title = {NiMARE: Neuroimaging Meta-Analysis Research Environment},
  journal = {Aperture Neuro}
}
@article{benjamini1995controlling,
  title={Controlling the false discovery rate: a practical and powerful approach to multiple testing},
  author={Benjamini, Yoav and Hochberg, Yosef},
  journal={Journal of the Royal statistical society: series B (Methodological)},
  volume={57},
  number={1},
  pages={289--300},
  year={1995},
  publisher={Wiley Online Library},
  url={https://doi.org/10.1111/j.2517-6161.1995.tb02031.x},
  doi={10.1111/j.2517-6161.1995.tb02031.x}
}
@article{wager2007meta,
  title={Meta-analysis of functional neuroimaging data: current and future directions},
  author={Wager, Tor D and Lindquist, Martin and Kaplan, Lauren},
  journal={Social cognitive and affective neuroscience},
  volume={2},
  number={2},
  pages={150--158},
  year={2007},
  publisher={Oxford University Press},
  url={https://doi.org/10.1093/scan/nsm015},
  doi={10.1093/scan/nsm015}
}